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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 08 Mar 2011 20:08:24 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Mar/08/t12996147564s4kjvhbk8ckuq2.htm/, Retrieved Sat, 11 May 2024 08:24:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=119745, Retrieved Sat, 11 May 2024 08:24:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact187

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Gemiddelde consum...] [2011-03-08 20:08:24] [461523bf9c5715e033e9a40193969321] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12.94
12.79
12.82
12.85
12.85
12.72
12.62
12.67
12.6
12.54
12.64
12.67
12.51
12.59
12.52
12.5
12.58
12.51
12.47
12.44
12.51
12.27
12.51
12.41
12.35
12.39
12.31
12.31
12.21
12.1
12.01
11.85
12.12
11.96
11.99
11.93
11.91
11.83
11.92
11.86
11.94
11.87
11.86
11.92
11.82
11.85
11.77
11.82
11.61
11.56
11.45
11.4
11.38
11.33
11.19
11.15
10.98
10.92
10.99
11
10.9
10.99
11.04
11.03
10.99
11
10.87
10.88
10.91
10.92
10.83
10.9
10.82
10.79
10.77
10.72
10.71
10.63
10.61
10.57
10.65
10.57
10.57
10.57

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 216.218.223.82

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 216.218.223.82 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119745&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 216.218.223.82[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119745&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119745&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 216.218.223.82






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0110.5706024121280.0022067565033585
0.0210.57318868261440.00877952930859198
0.0310.57941787943720.0195464113587928
0.0410.59034989899390.0321861980168831
0.0510.60601399009690.0442584694790502
0.0610.62561676673770.0544915957113752
0.0710.64802117468360.0625505738540916
0.0810.67211092595670.0683920008703407
0.0910.69693663561690.0719986549451423
0.110.72173201184650.0735244270272676
0.1110.74589893919720.0732438587644453
0.1210.76899784282880.0715616273289947
0.1310.79073936206750.0688900876400761
0.1410.8109695554920.0655980024747
0.1510.82964978260210.062021863359915
0.1610.84683638462420.0585048939926114
0.1710.86266267543380.0553197376810158
0.1810.87732203899180.0527738035338134
0.1910.89105019060320.0510947082321868
0.210.90410707364490.0503650637061934
0.2110.91676207139290.0506641282771819
0.2210.92928757467530.0519779855197521
0.2310.94196416337130.0543970503856795
0.2410.95509631220090.0581778930533081
0.2510.96903259672520.0636989494385857
0.2610.98418116060130.0714616833192324
0.2711.00101125286660.0818203081590837
0.2811.02003510190590.0949900333085292
0.2911.041770043580.110782740408581
0.311.06668666409230.128790878410269
0.3111.09515278875120.148248593807102
0.3211.12738422848610.168237311227573
0.3311.16341117703240.187783103420115
0.3411.20306496076830.205889248710894
0.3511.24598502238920.221682248481392
0.3611.29164213316190.234439554065136
0.3711.33937191928940.243645520716786
0.3811.38841306738630.24889821976059
0.3911.43794643818320.250018197462212
0.411.48713366202110.246930759839435
0.4111.53515548812460.239774868848418
0.4211.58125051214890.228852483431105
0.4311.62475388478150.214665645335544
0.4411.66513380882440.19793683436635
0.4511.70202199859510.179492063972589
0.4611.73523366449990.160370286145421
0.4711.76477343211350.141516053779757
0.4811.79082575965760.123881199413095
0.4911.81373122716990.108288133408618
0.511.83395264364230.0953124805755318
0.5111.85203645845420.0853716594487408
0.5211.86857503986180.0786735587200624
0.5311.88417405215520.0752099155442245
0.5411.89942691504710.0748489848071175
0.5511.91489590349980.0773541777192357
0.5611.9310975881130.0823888947698455
0.5711.94848955349650.0895658646522702
0.5811.96745583693580.098476600275274
0.5911.98829008855410.108537843036819
0.612.0111775429910.119154158123555
0.6112.03617882942110.129645783451077
0.6212.06321978126090.139259651205005
0.6312.09209130220070.14735429584035
0.6412.1224619091530.153324278269388
0.6512.15390310535020.156784331035965
0.6612.18592487378220.157547551694931
0.6712.21801613611940.155662989526364
0.6812.24968375919110.15136329542007
0.6912.28048408371660.145038987788777
0.712.31004300166130.137161311461624
0.7112.33806379889320.128164533048855
0.7212.36432537344940.118438969174307
0.7312.38867594421380.108289611069122
0.7412.41102807304360.0979790098953665
0.7512.43135934243940.0877620131905568
0.7612.4497196908220.0778896180417925
0.7712.46624226440460.0687189909551662
0.7812.48115123534020.0606458042987798
0.7912.49475890471310.054099377580606
0.812.50744650825190.0494054337063035
0.8112.51962829793250.0467037497364072
0.8212.53170517355570.0457921650287164
0.8312.54401988914920.0461922406299546
0.8412.55682812522810.0472920355255487
0.8512.57029712631440.0485921176507554
0.8612.58453666246620.0497986961823244
0.8712.59965768061040.0509048581054437
0.8812.61584380142750.0522051046892309
0.8912.63340990889190.0541851099102817
0.912.65281070610390.0573277480725672
0.9112.67455591065290.0617657580656458
0.9212.69900345896570.0668089185556247
0.9312.72605963484150.0707299104854115
0.9412.75492960111280.07113195000243
0.9512.78422272879640.066057150072927
0.9612.81283064832720.0556872579366276
0.9712.84162669857360.0446694051962465
0.9812.87412758046180.0452966371676531
0.9912.91120755668150.0658441934463354

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 10.570602412128 & 0.0022067565033585 \tabularnewline
0.02 & 10.5731886826144 & 0.00877952930859198 \tabularnewline
0.03 & 10.5794178794372 & 0.0195464113587928 \tabularnewline
0.04 & 10.5903498989939 & 0.0321861980168831 \tabularnewline
0.05 & 10.6060139900969 & 0.0442584694790502 \tabularnewline
0.06 & 10.6256167667377 & 0.0544915957113752 \tabularnewline
0.07 & 10.6480211746836 & 0.0625505738540916 \tabularnewline
0.08 & 10.6721109259567 & 0.0683920008703407 \tabularnewline
0.09 & 10.6969366356169 & 0.0719986549451423 \tabularnewline
0.1 & 10.7217320118465 & 0.0735244270272676 \tabularnewline
0.11 & 10.7458989391972 & 0.0732438587644453 \tabularnewline
0.12 & 10.7689978428288 & 0.0715616273289947 \tabularnewline
0.13 & 10.7907393620675 & 0.0688900876400761 \tabularnewline
0.14 & 10.810969555492 & 0.0655980024747 \tabularnewline
0.15 & 10.8296497826021 & 0.062021863359915 \tabularnewline
0.16 & 10.8468363846242 & 0.0585048939926114 \tabularnewline
0.17 & 10.8626626754338 & 0.0553197376810158 \tabularnewline
0.18 & 10.8773220389918 & 0.0527738035338134 \tabularnewline
0.19 & 10.8910501906032 & 0.0510947082321868 \tabularnewline
0.2 & 10.9041070736449 & 0.0503650637061934 \tabularnewline
0.21 & 10.9167620713929 & 0.0506641282771819 \tabularnewline
0.22 & 10.9292875746753 & 0.0519779855197521 \tabularnewline
0.23 & 10.9419641633713 & 0.0543970503856795 \tabularnewline
0.24 & 10.9550963122009 & 0.0581778930533081 \tabularnewline
0.25 & 10.9690325967252 & 0.0636989494385857 \tabularnewline
0.26 & 10.9841811606013 & 0.0714616833192324 \tabularnewline
0.27 & 11.0010112528666 & 0.0818203081590837 \tabularnewline
0.28 & 11.0200351019059 & 0.0949900333085292 \tabularnewline
0.29 & 11.04177004358 & 0.110782740408581 \tabularnewline
0.3 & 11.0666866640923 & 0.128790878410269 \tabularnewline
0.31 & 11.0951527887512 & 0.148248593807102 \tabularnewline
0.32 & 11.1273842284861 & 0.168237311227573 \tabularnewline
0.33 & 11.1634111770324 & 0.187783103420115 \tabularnewline
0.34 & 11.2030649607683 & 0.205889248710894 \tabularnewline
0.35 & 11.2459850223892 & 0.221682248481392 \tabularnewline
0.36 & 11.2916421331619 & 0.234439554065136 \tabularnewline
0.37 & 11.3393719192894 & 0.243645520716786 \tabularnewline
0.38 & 11.3884130673863 & 0.24889821976059 \tabularnewline
0.39 & 11.4379464381832 & 0.250018197462212 \tabularnewline
0.4 & 11.4871336620211 & 0.246930759839435 \tabularnewline
0.41 & 11.5351554881246 & 0.239774868848418 \tabularnewline
0.42 & 11.5812505121489 & 0.228852483431105 \tabularnewline
0.43 & 11.6247538847815 & 0.214665645335544 \tabularnewline
0.44 & 11.6651338088244 & 0.19793683436635 \tabularnewline
0.45 & 11.7020219985951 & 0.179492063972589 \tabularnewline
0.46 & 11.7352336644999 & 0.160370286145421 \tabularnewline
0.47 & 11.7647734321135 & 0.141516053779757 \tabularnewline
0.48 & 11.7908257596576 & 0.123881199413095 \tabularnewline
0.49 & 11.8137312271699 & 0.108288133408618 \tabularnewline
0.5 & 11.8339526436423 & 0.0953124805755318 \tabularnewline
0.51 & 11.8520364584542 & 0.0853716594487408 \tabularnewline
0.52 & 11.8685750398618 & 0.0786735587200624 \tabularnewline
0.53 & 11.8841740521552 & 0.0752099155442245 \tabularnewline
0.54 & 11.8994269150471 & 0.0748489848071175 \tabularnewline
0.55 & 11.9148959034998 & 0.0773541777192357 \tabularnewline
0.56 & 11.931097588113 & 0.0823888947698455 \tabularnewline
0.57 & 11.9484895534965 & 0.0895658646522702 \tabularnewline
0.58 & 11.9674558369358 & 0.098476600275274 \tabularnewline
0.59 & 11.9882900885541 & 0.108537843036819 \tabularnewline
0.6 & 12.011177542991 & 0.119154158123555 \tabularnewline
0.61 & 12.0361788294211 & 0.129645783451077 \tabularnewline
0.62 & 12.0632197812609 & 0.139259651205005 \tabularnewline
0.63 & 12.0920913022007 & 0.14735429584035 \tabularnewline
0.64 & 12.122461909153 & 0.153324278269388 \tabularnewline
0.65 & 12.1539031053502 & 0.156784331035965 \tabularnewline
0.66 & 12.1859248737822 & 0.157547551694931 \tabularnewline
0.67 & 12.2180161361194 & 0.155662989526364 \tabularnewline
0.68 & 12.2496837591911 & 0.15136329542007 \tabularnewline
0.69 & 12.2804840837166 & 0.145038987788777 \tabularnewline
0.7 & 12.3100430016613 & 0.137161311461624 \tabularnewline
0.71 & 12.3380637988932 & 0.128164533048855 \tabularnewline
0.72 & 12.3643253734494 & 0.118438969174307 \tabularnewline
0.73 & 12.3886759442138 & 0.108289611069122 \tabularnewline
0.74 & 12.4110280730436 & 0.0979790098953665 \tabularnewline
0.75 & 12.4313593424394 & 0.0877620131905568 \tabularnewline
0.76 & 12.449719690822 & 0.0778896180417925 \tabularnewline
0.77 & 12.4662422644046 & 0.0687189909551662 \tabularnewline
0.78 & 12.4811512353402 & 0.0606458042987798 \tabularnewline
0.79 & 12.4947589047131 & 0.054099377580606 \tabularnewline
0.8 & 12.5074465082519 & 0.0494054337063035 \tabularnewline
0.81 & 12.5196282979325 & 0.0467037497364072 \tabularnewline
0.82 & 12.5317051735557 & 0.0457921650287164 \tabularnewline
0.83 & 12.5440198891492 & 0.0461922406299546 \tabularnewline
0.84 & 12.5568281252281 & 0.0472920355255487 \tabularnewline
0.85 & 12.5702971263144 & 0.0485921176507554 \tabularnewline
0.86 & 12.5845366624662 & 0.0497986961823244 \tabularnewline
0.87 & 12.5996576806104 & 0.0509048581054437 \tabularnewline
0.88 & 12.6158438014275 & 0.0522051046892309 \tabularnewline
0.89 & 12.6334099088919 & 0.0541851099102817 \tabularnewline
0.9 & 12.6528107061039 & 0.0573277480725672 \tabularnewline
0.91 & 12.6745559106529 & 0.0617657580656458 \tabularnewline
0.92 & 12.6990034589657 & 0.0668089185556247 \tabularnewline
0.93 & 12.7260596348415 & 0.0707299104854115 \tabularnewline
0.94 & 12.7549296011128 & 0.07113195000243 \tabularnewline
0.95 & 12.7842227287964 & 0.066057150072927 \tabularnewline
0.96 & 12.8128306483272 & 0.0556872579366276 \tabularnewline
0.97 & 12.8416266985736 & 0.0446694051962465 \tabularnewline
0.98 & 12.8741275804618 & 0.0452966371676531 \tabularnewline
0.99 & 12.9112075566815 & 0.0658441934463354 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119745&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]10.570602412128[/C][C]0.0022067565033585[/C][/ROW]
[ROW][C]0.02[/C][C]10.5731886826144[/C][C]0.00877952930859198[/C][/ROW]
[ROW][C]0.03[/C][C]10.5794178794372[/C][C]0.0195464113587928[/C][/ROW]
[ROW][C]0.04[/C][C]10.5903498989939[/C][C]0.0321861980168831[/C][/ROW]
[ROW][C]0.05[/C][C]10.6060139900969[/C][C]0.0442584694790502[/C][/ROW]
[ROW][C]0.06[/C][C]10.6256167667377[/C][C]0.0544915957113752[/C][/ROW]
[ROW][C]0.07[/C][C]10.6480211746836[/C][C]0.0625505738540916[/C][/ROW]
[ROW][C]0.08[/C][C]10.6721109259567[/C][C]0.0683920008703407[/C][/ROW]
[ROW][C]0.09[/C][C]10.6969366356169[/C][C]0.0719986549451423[/C][/ROW]
[ROW][C]0.1[/C][C]10.7217320118465[/C][C]0.0735244270272676[/C][/ROW]
[ROW][C]0.11[/C][C]10.7458989391972[/C][C]0.0732438587644453[/C][/ROW]
[ROW][C]0.12[/C][C]10.7689978428288[/C][C]0.0715616273289947[/C][/ROW]
[ROW][C]0.13[/C][C]10.7907393620675[/C][C]0.0688900876400761[/C][/ROW]
[ROW][C]0.14[/C][C]10.810969555492[/C][C]0.0655980024747[/C][/ROW]
[ROW][C]0.15[/C][C]10.8296497826021[/C][C]0.062021863359915[/C][/ROW]
[ROW][C]0.16[/C][C]10.8468363846242[/C][C]0.0585048939926114[/C][/ROW]
[ROW][C]0.17[/C][C]10.8626626754338[/C][C]0.0553197376810158[/C][/ROW]
[ROW][C]0.18[/C][C]10.8773220389918[/C][C]0.0527738035338134[/C][/ROW]
[ROW][C]0.19[/C][C]10.8910501906032[/C][C]0.0510947082321868[/C][/ROW]
[ROW][C]0.2[/C][C]10.9041070736449[/C][C]0.0503650637061934[/C][/ROW]
[ROW][C]0.21[/C][C]10.9167620713929[/C][C]0.0506641282771819[/C][/ROW]
[ROW][C]0.22[/C][C]10.9292875746753[/C][C]0.0519779855197521[/C][/ROW]
[ROW][C]0.23[/C][C]10.9419641633713[/C][C]0.0543970503856795[/C][/ROW]
[ROW][C]0.24[/C][C]10.9550963122009[/C][C]0.0581778930533081[/C][/ROW]
[ROW][C]0.25[/C][C]10.9690325967252[/C][C]0.0636989494385857[/C][/ROW]
[ROW][C]0.26[/C][C]10.9841811606013[/C][C]0.0714616833192324[/C][/ROW]
[ROW][C]0.27[/C][C]11.0010112528666[/C][C]0.0818203081590837[/C][/ROW]
[ROW][C]0.28[/C][C]11.0200351019059[/C][C]0.0949900333085292[/C][/ROW]
[ROW][C]0.29[/C][C]11.04177004358[/C][C]0.110782740408581[/C][/ROW]
[ROW][C]0.3[/C][C]11.0666866640923[/C][C]0.128790878410269[/C][/ROW]
[ROW][C]0.31[/C][C]11.0951527887512[/C][C]0.148248593807102[/C][/ROW]
[ROW][C]0.32[/C][C]11.1273842284861[/C][C]0.168237311227573[/C][/ROW]
[ROW][C]0.33[/C][C]11.1634111770324[/C][C]0.187783103420115[/C][/ROW]
[ROW][C]0.34[/C][C]11.2030649607683[/C][C]0.205889248710894[/C][/ROW]
[ROW][C]0.35[/C][C]11.2459850223892[/C][C]0.221682248481392[/C][/ROW]
[ROW][C]0.36[/C][C]11.2916421331619[/C][C]0.234439554065136[/C][/ROW]
[ROW][C]0.37[/C][C]11.3393719192894[/C][C]0.243645520716786[/C][/ROW]
[ROW][C]0.38[/C][C]11.3884130673863[/C][C]0.24889821976059[/C][/ROW]
[ROW][C]0.39[/C][C]11.4379464381832[/C][C]0.250018197462212[/C][/ROW]
[ROW][C]0.4[/C][C]11.4871336620211[/C][C]0.246930759839435[/C][/ROW]
[ROW][C]0.41[/C][C]11.5351554881246[/C][C]0.239774868848418[/C][/ROW]
[ROW][C]0.42[/C][C]11.5812505121489[/C][C]0.228852483431105[/C][/ROW]
[ROW][C]0.43[/C][C]11.6247538847815[/C][C]0.214665645335544[/C][/ROW]
[ROW][C]0.44[/C][C]11.6651338088244[/C][C]0.19793683436635[/C][/ROW]
[ROW][C]0.45[/C][C]11.7020219985951[/C][C]0.179492063972589[/C][/ROW]
[ROW][C]0.46[/C][C]11.7352336644999[/C][C]0.160370286145421[/C][/ROW]
[ROW][C]0.47[/C][C]11.7647734321135[/C][C]0.141516053779757[/C][/ROW]
[ROW][C]0.48[/C][C]11.7908257596576[/C][C]0.123881199413095[/C][/ROW]
[ROW][C]0.49[/C][C]11.8137312271699[/C][C]0.108288133408618[/C][/ROW]
[ROW][C]0.5[/C][C]11.8339526436423[/C][C]0.0953124805755318[/C][/ROW]
[ROW][C]0.51[/C][C]11.8520364584542[/C][C]0.0853716594487408[/C][/ROW]
[ROW][C]0.52[/C][C]11.8685750398618[/C][C]0.0786735587200624[/C][/ROW]
[ROW][C]0.53[/C][C]11.8841740521552[/C][C]0.0752099155442245[/C][/ROW]
[ROW][C]0.54[/C][C]11.8994269150471[/C][C]0.0748489848071175[/C][/ROW]
[ROW][C]0.55[/C][C]11.9148959034998[/C][C]0.0773541777192357[/C][/ROW]
[ROW][C]0.56[/C][C]11.931097588113[/C][C]0.0823888947698455[/C][/ROW]
[ROW][C]0.57[/C][C]11.9484895534965[/C][C]0.0895658646522702[/C][/ROW]
[ROW][C]0.58[/C][C]11.9674558369358[/C][C]0.098476600275274[/C][/ROW]
[ROW][C]0.59[/C][C]11.9882900885541[/C][C]0.108537843036819[/C][/ROW]
[ROW][C]0.6[/C][C]12.011177542991[/C][C]0.119154158123555[/C][/ROW]
[ROW][C]0.61[/C][C]12.0361788294211[/C][C]0.129645783451077[/C][/ROW]
[ROW][C]0.62[/C][C]12.0632197812609[/C][C]0.139259651205005[/C][/ROW]
[ROW][C]0.63[/C][C]12.0920913022007[/C][C]0.14735429584035[/C][/ROW]
[ROW][C]0.64[/C][C]12.122461909153[/C][C]0.153324278269388[/C][/ROW]
[ROW][C]0.65[/C][C]12.1539031053502[/C][C]0.156784331035965[/C][/ROW]
[ROW][C]0.66[/C][C]12.1859248737822[/C][C]0.157547551694931[/C][/ROW]
[ROW][C]0.67[/C][C]12.2180161361194[/C][C]0.155662989526364[/C][/ROW]
[ROW][C]0.68[/C][C]12.2496837591911[/C][C]0.15136329542007[/C][/ROW]
[ROW][C]0.69[/C][C]12.2804840837166[/C][C]0.145038987788777[/C][/ROW]
[ROW][C]0.7[/C][C]12.3100430016613[/C][C]0.137161311461624[/C][/ROW]
[ROW][C]0.71[/C][C]12.3380637988932[/C][C]0.128164533048855[/C][/ROW]
[ROW][C]0.72[/C][C]12.3643253734494[/C][C]0.118438969174307[/C][/ROW]
[ROW][C]0.73[/C][C]12.3886759442138[/C][C]0.108289611069122[/C][/ROW]
[ROW][C]0.74[/C][C]12.4110280730436[/C][C]0.0979790098953665[/C][/ROW]
[ROW][C]0.75[/C][C]12.4313593424394[/C][C]0.0877620131905568[/C][/ROW]
[ROW][C]0.76[/C][C]12.449719690822[/C][C]0.0778896180417925[/C][/ROW]
[ROW][C]0.77[/C][C]12.4662422644046[/C][C]0.0687189909551662[/C][/ROW]
[ROW][C]0.78[/C][C]12.4811512353402[/C][C]0.0606458042987798[/C][/ROW]
[ROW][C]0.79[/C][C]12.4947589047131[/C][C]0.054099377580606[/C][/ROW]
[ROW][C]0.8[/C][C]12.5074465082519[/C][C]0.0494054337063035[/C][/ROW]
[ROW][C]0.81[/C][C]12.5196282979325[/C][C]0.0467037497364072[/C][/ROW]
[ROW][C]0.82[/C][C]12.5317051735557[/C][C]0.0457921650287164[/C][/ROW]
[ROW][C]0.83[/C][C]12.5440198891492[/C][C]0.0461922406299546[/C][/ROW]
[ROW][C]0.84[/C][C]12.5568281252281[/C][C]0.0472920355255487[/C][/ROW]
[ROW][C]0.85[/C][C]12.5702971263144[/C][C]0.0485921176507554[/C][/ROW]
[ROW][C]0.86[/C][C]12.5845366624662[/C][C]0.0497986961823244[/C][/ROW]
[ROW][C]0.87[/C][C]12.5996576806104[/C][C]0.0509048581054437[/C][/ROW]
[ROW][C]0.88[/C][C]12.6158438014275[/C][C]0.0522051046892309[/C][/ROW]
[ROW][C]0.89[/C][C]12.6334099088919[/C][C]0.0541851099102817[/C][/ROW]
[ROW][C]0.9[/C][C]12.6528107061039[/C][C]0.0573277480725672[/C][/ROW]
[ROW][C]0.91[/C][C]12.6745559106529[/C][C]0.0617657580656458[/C][/ROW]
[ROW][C]0.92[/C][C]12.6990034589657[/C][C]0.0668089185556247[/C][/ROW]
[ROW][C]0.93[/C][C]12.7260596348415[/C][C]0.0707299104854115[/C][/ROW]
[ROW][C]0.94[/C][C]12.7549296011128[/C][C]0.07113195000243[/C][/ROW]
[ROW][C]0.95[/C][C]12.7842227287964[/C][C]0.066057150072927[/C][/ROW]
[ROW][C]0.96[/C][C]12.8128306483272[/C][C]0.0556872579366276[/C][/ROW]
[ROW][C]0.97[/C][C]12.8416266985736[/C][C]0.0446694051962465[/C][/ROW]
[ROW][C]0.98[/C][C]12.8741275804618[/C][C]0.0452966371676531[/C][/ROW]
[ROW][C]0.99[/C][C]12.9112075566815[/C][C]0.0658441934463354[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119745&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119745&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0110.5706024121280.0022067565033585
0.0210.57318868261440.00877952930859198
0.0310.57941787943720.0195464113587928
0.0410.59034989899390.0321861980168831
0.0510.60601399009690.0442584694790502
0.0610.62561676673770.0544915957113752
0.0710.64802117468360.0625505738540916
0.0810.67211092595670.0683920008703407
0.0910.69693663561690.0719986549451423
0.110.72173201184650.0735244270272676
0.1110.74589893919720.0732438587644453
0.1210.76899784282880.0715616273289947
0.1310.79073936206750.0688900876400761
0.1410.8109695554920.0655980024747
0.1510.82964978260210.062021863359915
0.1610.84683638462420.0585048939926114
0.1710.86266267543380.0553197376810158
0.1810.87732203899180.0527738035338134
0.1910.89105019060320.0510947082321868
0.210.90410707364490.0503650637061934
0.2110.91676207139290.0506641282771819
0.2210.92928757467530.0519779855197521
0.2310.94196416337130.0543970503856795
0.2410.95509631220090.0581778930533081
0.2510.96903259672520.0636989494385857
0.2610.98418116060130.0714616833192324
0.2711.00101125286660.0818203081590837
0.2811.02003510190590.0949900333085292
0.2911.041770043580.110782740408581
0.311.06668666409230.128790878410269
0.3111.09515278875120.148248593807102
0.3211.12738422848610.168237311227573
0.3311.16341117703240.187783103420115
0.3411.20306496076830.205889248710894
0.3511.24598502238920.221682248481392
0.3611.29164213316190.234439554065136
0.3711.33937191928940.243645520716786
0.3811.38841306738630.24889821976059
0.3911.43794643818320.250018197462212
0.411.48713366202110.246930759839435
0.4111.53515548812460.239774868848418
0.4211.58125051214890.228852483431105
0.4311.62475388478150.214665645335544
0.4411.66513380882440.19793683436635
0.4511.70202199859510.179492063972589
0.4611.73523366449990.160370286145421
0.4711.76477343211350.141516053779757
0.4811.79082575965760.123881199413095
0.4911.81373122716990.108288133408618
0.511.83395264364230.0953124805755318
0.5111.85203645845420.0853716594487408
0.5211.86857503986180.0786735587200624
0.5311.88417405215520.0752099155442245
0.5411.89942691504710.0748489848071175
0.5511.91489590349980.0773541777192357
0.5611.9310975881130.0823888947698455
0.5711.94848955349650.0895658646522702
0.5811.96745583693580.098476600275274
0.5911.98829008855410.108537843036819
0.612.0111775429910.119154158123555
0.6112.03617882942110.129645783451077
0.6212.06321978126090.139259651205005
0.6312.09209130220070.14735429584035
0.6412.1224619091530.153324278269388
0.6512.15390310535020.156784331035965
0.6612.18592487378220.157547551694931
0.6712.21801613611940.155662989526364
0.6812.24968375919110.15136329542007
0.6912.28048408371660.145038987788777
0.712.31004300166130.137161311461624
0.7112.33806379889320.128164533048855
0.7212.36432537344940.118438969174307
0.7312.38867594421380.108289611069122
0.7412.41102807304360.0979790098953665
0.7512.43135934243940.0877620131905568
0.7612.4497196908220.0778896180417925
0.7712.46624226440460.0687189909551662
0.7812.48115123534020.0606458042987798
0.7912.49475890471310.054099377580606
0.812.50744650825190.0494054337063035
0.8112.51962829793250.0467037497364072
0.8212.53170517355570.0457921650287164
0.8312.54401988914920.0461922406299546
0.8412.55682812522810.0472920355255487
0.8512.57029712631440.0485921176507554
0.8612.58453666246620.0497986961823244
0.8712.59965768061040.0509048581054437
0.8812.61584380142750.0522051046892309
0.8912.63340990889190.0541851099102817
0.912.65281070610390.0573277480725672
0.9112.67455591065290.0617657580656458
0.9212.69900345896570.0668089185556247
0.9312.72605963484150.0707299104854115
0.9412.75492960111280.07113195000243
0.9512.78422272879640.066057150072927
0.9612.81283064832720.0556872579366276
0.9712.84162669857360.0446694051962465
0.9812.87412758046180.0452966371676531
0.9912.91120755668150.0658441934463354


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')